ERIC Number: EJ1394869
Record Type: Journal
Publication Date: 2023
Pages: 14
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1570-0763
EISSN: EISSN-1744-5043
Available Date: N/A
Data Analysis for School Improvement within Coupled Local School Systems: Which Data and with What Purposes?
Leadership and Policy in Schools, v22 n3 p714-727 2023
From a new institutional theoretical perspective, this article explores school actors' sense-making linked to data-based decision making (DBDM) policy in general and processes of data analysis in particular. The study revealed how actors' interpretation of and response to DBDM pointed to strong and weak couplings between and within the local school system's organizational levels. While teachers emphasized informal, daily analyses, the LEA and principals placed importance on formal, district and school-based analyses. In the same way teachers to a greater extent think that too much resources is spent on collecting and analyzing data rather than on innovation and school improvement.
Descriptors: Data Analysis, Educational Improvement, Decision Making, Data Interpretation, School Districts, Principals, Educational Policy, Data Use
Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A